Senior Data Scientist Reinforcement Learning – Offer Intelligence

Workster; München; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading recruitment firm is seeking a Senior Data Scientist to join their team in Munich. This role focuses on advanced statistical modeling and machine learning to optimize pricing strategies. Candidates should possess extensive experience in Bayesian methods and programming skills. The company offers a hybrid working model, generous vacation, and a supportive team culture.

Leistungen

30 days of paid vacation

Access to fitness facilities

Mobility support and pension contributions

Qualifikationen

• 5+ years of experience in applied statistical modeling with a focus on Bayesian methods.
• Proficiency in probabilistic programming using tools like PyMC or Stan.
• Hands-on experience with SVI and large-scale MCMC techniques.

Aufgaben

• Architect and prototype Bayesian regression models for dynamic pricing strategies.
• Implement techniques for making robust decisions under uncertainty.
• Collaborate with revenue and product teams to develop data-driven hypotheses.

Kenntnisse

Bayesian methods

Probabilistic programming

Python programming

Statistical modeling

Cloud infrastructure

Tools

PyMC

Docker

Kubernetes

Airflow

Jobbeschreibung

Direct message the job poster from Workster

International Talent Acquisition I Team Leader I Luxury Travel Specialist I Mini Travel Guides creator

Workster is partnering with a global leader in the mobility industry to recruit a Senior Data Scientist – Reinforcement Learning (m/f/d) for their growing Data Science & Engineering team in Munich. This is a high-impact opportunity to shape the future of intelligent pricing systems through advanced probabilistic modeling and state-of-the-art machine learning techniques.

You’ll be joining a company that values rigorous science, scalability, and innovation—where your models will directly influence millions of real-time business decisions across global markets.

Your Role

• Architect and prototype Bayesian regression models (GLM, mixed-effects, Gaussian Process) to support dynamic pricing strategies.
• Implement techniques like SVI, MCMC, and importance sampling to make robust decisions under uncertainty.
• Design and maintain feature engineering pipelines and automated data validation using tools such as Airflow or Dagster.
• Deploy production models via FastAPI, Docker, and Kubernetes, ensuring performance monitoring and anomaly detection are in place.
• Design and evaluate A/B and multivariate tests using causal inference and quasi-experimental methods.
• Collaborate cross-functionally with revenue and product teams to turn abstract ideas into data-driven hypotheses.
• Mentor team members and help elevate internal Bayesian and modeling standards through workshops and publications.

Your Qualifications

• 5+ years of experience in applied statistical modeling, with a strong focus on Bayesian methods.
• Proficiency in probabilistic programming using PyMC, Stan, NumPyro, TFP, or similar tools.
• Hands-on experience with SVI, black-box variational inference, and large-scale MCMC techniques.
• Strong Python programming skills with best practices in testing, type hints, and CI/CD.
• Familiarity with cloud infrastructure (AWS, GCP, or Azure), Docker/Kubernetes, and workflow orchestration tools.
• Excellent communication skills—able to explain statistical concepts and uncertainty to both technical and executive audiences.

The Offer

• A hybrid working model with flexibility and 30 days of paid vacation.
• Opportunities to engage in company-wide learning initiatives and volunteer days.
• Access to on-site fitness and leisure facilities in a modern workspace.
• Mobility support, pension contributions, and generous employee discounts on mobility services.
• A supportive and collaborative team culture with cutting-edge technologies and complex real-world challenges.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Hospitality and Commercial and Service Industry Machinery Manufacturing

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